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@cocopina/bench
Advanced tools
Run JS benchmarks with nanoseconds accuracy.
npm i @cocopina/bench
bench(cases, options)
The package's default export.
Use this to run a full benchmark suite (including result printing and all), you can use the package's default export.
cases <Function[]>
- The different cases to compare.options <Object>
iterations <Number>
- The number of iterations to run. Higher iterations account for engine warm up and parsing. Default is 100000
.stat <String>
- The statistical method to use when looking on the execution result. Can be either "median"
or "average"
1. Default is "median"
.It's highly recommended to use median and/or a large amount of iterations when measuring performance to compensate for engine warmup, etc.
const bench = require('@cocopina/bench');
bench([
() => false,
() => 1 + 1 + 1
]);
// Here are your results:
//
// Case 2 - 278ns median (Fastest 🏆)
// Case 1 - 433ns median (55.76% slower)
measureCase(fn, options)
Measures a single function's average execution time, in nanoseconds accuracy.
Use this to get only the execution time of a given function.
fn <Function>
- The function to measure.options <Object>
iterations <Number>
- The number of iterations to run. Higher iterations account for engine warm up and parsing. Default is 100000
.stat <String>
- The statistical method to use when looking on the execution result. Can be either "median"
or "average"
1. Default is "median"
.It's highly recommended to use median and/or a large amount of iterations when measuring performance to compensate for engine warmup, runtime code parsing to byte code, etc.
Number
const { measureCase } = require('@cocopina/bench');
measureCase(() => false); // 253
FAQs
Run JS benchmarks with nanoseconds accuracy
We found that @cocopina/bench demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
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